大数据创新高校思想政治理论课的价值意蕴

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英文篇名：The Value Implication of Innovation in Ideological and Political Theory Course in Colleges and Universities Based on the Big Data 作者：赵浚 ; 臧晓兰 英文作者：ZHAO Jun;ZANG Xiao-lan; 关键词：大数据 ; 高校 ; 思想政治理论课 ; 融合创新 ; 价值 英文关键词：big data;;universities;;ideological and political theory course;;integration and innovation;;value 中文刊名：HNGD 英文刊名：Journal of Hunan Radio and Television University 机构：东北大学马克思主义学院; 出版日期：2019-03-25 出版单位：湖南广播电视大学学报 年：2019 期：No.77 基金：教育部中央科研基本业务费项目“终极关怀视阈下思想政治教育的时代化研究”(N171304008);; 辽宁省社会科学规划项目“大数据时代高校网络意识形态安全研究”(L18BKS012);; 辽宁省教育科学规划项目“大数据时代高校思想政治理论课融合创新研究”(JG18DB159) 语种：中文; 页：HNGD201901013 页数：7 CN：01 ISSN：43-1320/C 分类号：88-94

摘要

大数据的思维方式和技术优势从教学理念、教学内容、教学方法、评价方式等方面为高校思想政治理论课带来了新契机,注入了新活力。大数据与思政课的融合创新将深化思政课教学的学理基础,推动思政课教学的实践探索,促进思政课交叉学科的发展,有助于思政课的学科化与科学化演进。
        The thinking mode and technological advantages of big data bring new opportunities and vitality to the ideological and political theory course in colleges and universities in China from the aspects of teaching concept, teaching content, teaching methods and evaluation methods. The deep innovation and organic integration of big data and ideological and political theory courses in colleges and universities in China will deepen the theoretical basis of ideological and political theory course teaching in colleges and universities, promote the practical exploration of ideological and political theory course teaching in colleges and universities, promote the development of cross-disciplines of ideological and political theory courses in colleges and universities, and further help the subjects of ideological and political theory courses in colleges and universities.

引文

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